Lead Capability Experience Designer (UX) - Technology

📍 Job Overview

Job Title: Lead Capability Experience Designer (UX) - Technology

Company: FIS Global

Location: Jacksonville, Florida, United States

Job Type: Full-time

Category: User Experience (UX) Design / Engineering Enablement

Date Posted: 2026-09-24

Experience Level: Experienced (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Drive the design and implementation of innovative capability experiences for engineers within FIS Global's Technology division, focusing on Agentic AI adoption and modern infrastructure operations.

• Strategize and create embedded enablement solutions, tools, and systems that enhance the daily workflows and professional growth of engineers, particularly in areas like platform engineering, SRE, and cloud-native practices.

• Collaborate closely with engineering leadership, AI platform owners, and workforce design teams to translate complex technical and organizational changes into intuitive, actionable experiences for technical audiences.

• Develop and refine learning pathways, role profiles, and progression criteria that support engineers in a rapidly evolving AI-driven fintech landscape.

📝 Enhancement Note: This role is a specialized blend of UX Design and Engineering Enablement, with a strong emphasis on integrating learning and adoption directly into the engineer's workflow, rather than through traditional Learning Management Systems (LMS). The focus on "Agentic AI" and "human + digital workforce" indicates a forward-thinking approach to employee development within a complex technological environment.

📈 Primary Responsibilities

• Design end-to-end engineer experiences for the adoption of Agentic AI tools, from initial awareness to productive use in daily delivery, including onboarding for AI Gateway, Agent Runtime, and agentic code review workflows.

• Map the Engineering Service Delivery lifecycle to identify high-impact moments for enablement, guidance, and skill-building, focusing on the human-digital worker task boundary and accountability.

• Develop workflow-embedded enablement for Platform Engineering, SRE, and Cloud operating model roles, covering self-serve platform consumption, on-call readiness, and incident response.

• Create scalable assets like runbook templates, decision frameworks, and escalation guides that embed best practices directly into infrastructure operations.

• Translate the "Diamond-shape Talent Model" into concrete learning pathways, role profiles, and progression criteria for AI-era engineering roles, and design the Capability & Learning session framework.

• Build the Learning Management and Knowledge System architecture, focusing on validation, applied learning, and judgment development within the flow of work.

• Conduct continuous user research with engineers through shadowing, feedback loops, and rapid iteration to improve enablement materials and solutions.

• Audit and optimize existing enablement materials for cognitive load, relevance, and usability within engineering contexts.

• Partner with Platform and SRE leads to design operating rhythm tools that support a shift to outcome-based performance.

• Maintain enterprise-wide design standards and reusable patterns across engineering academies, platforms, and channels.

📝 Enhancement Note: The responsibilities highlight a deep dive into the operational realities of engineers, emphasizing "in-workflow" solutions and embedding learning into existing tools like IDEs and deployment pipelines. The role requires a strategic understanding of how to drive adoption of new technologies like Agentic AI and how to structure learning for complex technical roles like SRE and Platform Engineering.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent in UX Design, Human-Centered Design Thinking, Learning Experience Design, Computer Science, or a related field.

Experience: Proven experience designing enablement, learning, or behavior-change solutions within engineering, technology, or infrastructure organizations.

Required Skills:

• Strong UX fundamentals, including journey mapping, workflow analysis, service design, interaction design, and prototype-and-test methodologies.

• Understanding of software engineering delivery practices, developer workflows, and the software development lifecycle (SDLC).

• Ability to translate complex technical concepts and organizational changes into practical, intuitive experiences for technical audiences.

• Proficiency in conducting user research with engineers and translating insights into rapid, iterative improvements.

• Excellent collaboration, facilitation, and stakeholder management skills, with the ability to engage effectively with both technical and non-technical stakeholders.

• Experience in designing and implementing enablement or learning solutions for technical teams.

• Familiarity with modern infrastructure concepts such as cloud-native architecture, SRE principles, and platform engineering. Preferred Skills:

• Experience supporting Agentic AI, developer tooling, or AI platform adoption programs.

• Familiarity with Platform Engineering, SRE, or Cloud operating models and associated roles (e.g., SRE, Platform Engineer, Cloud Architect, DevOps).

• Industry expertise in Banking, Payments, Capital Markets, or Finance.

• Knowledge of developer experience (DX) design principles and toolchain-embedded enablement approaches.

• Experience creating capability frameworks, role taxonomies, or learning architecture for engineering populations.

• Familiarity with digital adoption tools, in-workflow learning, and performance-support design patterns.

• Understanding of AI-enabled or personalized capability solutions within enterprise engineering contexts.

• Experience facilitating workshops or capability discovery sessions with senior engineering or infrastructure leaders.

📝 Enhancement Note: The qualifications emphasize a blend of core UX competencies with a deep understanding of the engineering environment. The "preferred" qualifications point towards candidates who can hit the ground running with specific knowledge in AI adoption, SRE/Platform Engineering, and the fintech industry, indicating a need for strategic thinking beyond basic UX execution.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of designing complex technical workflows or systems, illustrating problem definition, user research, solution ideation, and iterative design.

• Include case studies demonstrating the creation of enablement programs, learning pathways, or behavior change initiatives for technical audiences.

• Present projects that highlight the integration of learning or support directly into user workflows or tools (e.g., in-IDE tips, contextual help within applications).

• Demonstrate experience with service design principles, mapping user journeys, and identifying friction points within complex service delivery lifecycles.

• Provide evidence of translating abstract concepts (like AI adoption or new operating models) into concrete, actionable user experiences. Process Documentation:

• Document your design process, including how you approach user research, requirements gathering, ideation, prototyping, testing, and iteration within a technical context.

• Illustrate how you have used data (e.g., adoption metrics, performance data, user feedback) to inform design decisions and measure the impact of your solutions.

• Explain your approach to designing for scalability and reusability across different engineering teams or platforms.

• Detail your experience in collaborating with cross-functional teams (e.g., engineering, product, AI platform owners) to gather requirements and ensure alignment.

📝 Enhancement Note: For this role, a portfolio needs to go beyond typical UI/UX projects. It should clearly articulate the candidate's ability to design for complex B2B technical environments, focusing on adoption, enablement, and performance improvement for engineers. Demonstrating a structured approach to integrating learning into daily workflows and showcasing impact through data will be crucial.

💵 Compensation & Benefits

Salary Range: For a Lead Capability Experience Designer with 5-10 years of experience in Jacksonville, Florida, the estimated annual salary range is typically between $110,000 and $150,000. This range can vary based on the candidate's specific experience, skill set, and the company's compensation structure for specialized roles.

Benefits:

• Competitive salary.

• Comprehensive benefits package, likely including health, dental, and vision insurance.

• Opportunities for professional development and career growth within a leading fintech company.

• Access to cutting-edge technology and AI initiatives.

• Retirement savings plans (e.g., 401(k)) with potential company match.

• Paid time off, including vacation, sick leave, and holidays.

• Potential for performance-based bonuses.

Working Hours: Standard full-time working hours are typically 40 hours per week. While the role is on-site, there may be flexibility in daily scheduling, with potential for occasional extended hours to meet project deadlines or support critical system operations.

📝 Enhancement Note: The salary estimate is based on industry benchmarks for Lead UX Designers and specialized enablement roles in major US metropolitan areas, adjusted for the Jacksonville, Florida market. Benefits are standard for a large, established technology company like FIS Global.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Technology (Fintech). FIS Global is a major player in providing technology solutions for banks, asset management firms, and corporations, facilitating global commerce and financial transactions. This context means high stakes, a focus on security, reliability, and innovation to stay competitive.

Company Size: Large enterprise (FIS Global is a Fortune 500 company with tens of thousands of employees globally). This implies structured processes, opportunities for large-scale impact, and a need for clear communication and collaboration across numerous departments and geographies.

Founded: 1968. With a long history, FIS Global brings established expertise and a deep understanding of the financial services industry, while also needing to continuously innovate to keep pace with technological advancements.

Team Structure:

• The role sits within the Engineering & Infrastructure domain, specifically focused on "Capability Experience Design."

• This team likely works closely with various engineering disciplines including Platform Engineering, Site Reliability Engineering (SRE), Cloud Operations, and AI Platform Program owners.

• Collaboration will be cross-functional, involving product management, AI specialists, and potentially HR/Talent Development to align enablement strategies with business goals.

• Reporting structure likely involves a design or engineering leadership role, with significant interaction with senior engineering stakeholders. Methodology:

• Data-driven design: Utilizing adoption signals, engineer feedback, platform usage data, and performance metrics to inform and iterate on solutions.

• Human-centered design: Deeply understanding the engineer's workflow, pain points, and needs through research and empathy.

• Agile and iterative development: Rapid prototyping, testing, and refinement of enablement touchpoints and systems.

• Workflow integration: Designing solutions that are embedded within existing engineering tools and processes, rather than separate learning modules.

• Outcome-based performance: Focusing enablement efforts on driving tangible improvements in engineering productivity, adoption rates, and operational efficiency.

Company Website: https://careers.fisglobal.com/us/en

📝 Enhancement Note: The company's size and industry suggest a need for robust, scalable, and secure solutions. The emphasis on "Agentic AI" and "modern infrastructure" indicates a company actively investing in future technologies, making this role crucial for driving internal adoption and capability development.

📈 Career & Growth Analysis

Operations Career Level: This role is a "Lead" position, indicating a senior individual contributor role with significant influence and responsibility for strategy and execution within their domain. It requires not just design skills but also strategic thinking, stakeholder management, and the ability to mentor or guide others in design best practices. For an operations-focused role, this means shaping how critical technical functions operate and evolve.

Reporting Structure: The Lead Capability Experience Designer will likely report to a Director or Senior Manager overseeing Engineering Enablement, Workforce Design, or a similar function within the Technology organization. They will work closely with VPs and Directors of Engineering, Platform, and SRE to understand strategic priorities and embed solutions.

Operations Impact: The impact of this role is significant:

• Productivity & Efficiency: By designing better workflows and enablement, engineers can become more productive, reducing time-to-market for new features and improving operational stability.

• Technology Adoption: Crucial for driving the successful adoption of new, strategic technologies like Agentic AI, which are key to FIS Global's future competitiveness.

• Talent Development & Retention: By creating clear career paths and skill development opportunities, the company can attract and retain top engineering talent.

• Operational Excellence: Improving SRE and Platform Engineering practices leads to more reliable and scalable infrastructure, directly impacting service delivery and customer satisfaction.

Growth Opportunities:

• Leadership in Specialization: Advance to a Principal or Director-level role focused on specialized areas like AI enablement, Developer Experience, or Workforce Transformation within Technology.

• Broader Strategic Influence: Move into roles focused on broader organizational design, strategic planning for engineering, or product management for internal developer tools.

• Cross-Functional Mobility: Transition into roles within Product Management for internal platforms, Program Management for AI initiatives, or even into leadership roles within specific engineering domains.

• Mentorship & Training: Develop expertise in coaching and mentoring junior designers or enablement specialists, and potentially lead training programs.

📝 Enhancement Note: The "Lead" title suggests a path towards management or principal-level individual contribution. The focus on "capability experience" and "AI adoption" positions this role at the forefront of organizational transformation, offering significant growth potential in areas critical to modern tech companies.

🌐 Work Environment

Office Type: The role is described as "On-site" in Jacksonville, Florida. This suggests a traditional office environment where collaboration, spontaneous discussions, and team cohesion are prioritized. It also implies access to in-person resources and a structured workday.

Office Location(s): Jacksonville, Florida. This location likely offers a vibrant business environment with access to talent and resources within the southeastern United States. Being on-site allows for direct engagement with colleagues and leadership.

Workspace Context:

• Collaborative Hub: The office environment will foster direct interaction with engineering teams, leadership, and cross-functional partners, enabling rapid feedback loops and co-creation.

• Technology-Rich: Expect access to standard corporate IT infrastructure, collaboration tools (e.g., Slack, Teams, Jira), and potentially specialized design and research software.

• Innovation Focus: The presence of roles focused on cutting-edge technology like Agentic AI suggests an environment that encourages exploration, experimentation, and forward-thinking problem-solving.

Work Schedule: Standard 40-hour work week, likely with core hours for team collaboration. As an on-site role, adherence to office hours is expected, though flexibility may be available for specific needs. Occasional project demands might require extended hours, particularly when dealing with critical infrastructure or new technology rollouts.

📝 Enhancement Note: The on-site requirement indicates a preference for in-person collaboration, which is often beneficial for complex design and stakeholder alignment tasks. This environment can facilitate stronger team bonds and more immediate feedback, crucial for a role involving deep workflow integration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial call to assess basic qualifications, experience, and alignment with the role's core objectives.

• Technical/Design Assessment: Expect a deep dive into your UX design process, problem-solving approach, and experience with technical enablement. This may involve a portfolio review, a take-home design challenge, or a live design exercise.

• Stakeholder Interviews: You will likely meet with engineering leaders, platform owners, and potential team members to assess your collaboration skills, understanding of technical contexts, and cultural fit.

• Final Interview: A concluding interview with senior leadership to discuss strategic alignment, long-term vision, and overall suitability for the Lead role.

Portfolio Review Tips:

• Highlight Relevance: Curate projects that specifically demonstrate experience in designing for technical audiences, workflow integration, and enablement/learning solutions. Showcase your understanding of engineering lifecycles.

• Showcase Impact: For each project, clearly articulate the problem, your role, the solution, and most importantly, the measurable impact or outcomes achieved (e.g., improved adoption rates, reduced errors, increased efficiency). Use data where possible.

• Demonstrate Process: Walk through your design process for key projects. Explain your research methodologies, how you translated insights into design, and your iterative approach.

• Contextualize AI/Tech: If you have experience with AI, developer tools, or complex infrastructure, be ready to discuss it in detail. For this role, understanding the nuances of Agentic AI adoption is a significant plus.

• Tell a Story: Frame your portfolio presentations as narratives that highlight your problem-solving skills, strategic thinking, and ability to deliver tangible results.

Challenge Preparation:

• Understand the Context: Research FIS Global, its position in the fintech industry, and its strategic focus on AI and modern infrastructure.

• Anticipate Scenarios: Be prepared for challenges related to designing adoption strategies for new technologies (like Agentic AI), improving developer workflows, or creating enablement for complex technical roles (SRE, Platform Engineering).

• Focus on Process: For any design challenge, emphasize your process – how you would approach understanding the problem, gathering requirements, ideating solutions, and testing them within the given constraints.

• Articulate Trade-offs: Be ready to discuss the trade-offs involved in different design decisions and how you would prioritize solutions based on impact and feasibility.

📝 Enhancement Note: The interview process will likely test not just design skills but also strategic thinking, problem-solving in complex technical domains, and the ability to drive adoption and change within an enterprise engineering organization. A strong portfolio that showcases impact and a well-articulated design process will be critical.

🛠 Tools & Technology Stack

Primary Tools:

• UX Design & Prototyping: Figma, Sketch, Adobe XD, InVision (or similar industry-standard tools for wireframing, prototyping, and user interface design).

• User Research & Feedback: Tools for surveys, user interviews, usability testing platforms (e.g., UserTesting.com, Maze), and potentially analytics platforms for tracking user behavior.

• Collaboration & Project Management: Jira, Confluence, Asana, Trello, Slack, Microsoft Teams for team communication, task tracking, and documentation.

• Diagramming & Workflow Mapping: Lucidchart, Miro, Visio for creating journey maps, process flows, and system diagrams.

Analytics & Reporting:

• Product Analytics: Tools like Google Analytics, Amplitude, Mixpanel might be used to understand user adoption and behavior within digital tools.

• Data Visualization: Tableau, Power BI, or similar tools might be used for presenting data insights to stakeholders, though direct use might be less frequent than for data analysts.

• Internal Data Sources: Access to internal FIS systems for engineering metrics, adoption rates, and performance data will be crucial.

CRM & Automation:

• While not a direct CRM role, understanding how user data is managed and how automation can support enablement processes is beneficial.

• Familiarity with Digital Adoption Platforms (DAPs) or in-workflow guidance tools (e.g., WalkMe, Pendo) would be advantageous, as the role focuses on embedded enablement.

• Understanding of how to leverage APIs or integration points for data flow between systems might be relevant for advanced enablement solutions.

📝 Enhancement Note: The tool stack reflects a need for strong design and collaboration capabilities, with an emphasis on data-driven decision-making. Proficiency in tools that support workflow analysis, journey mapping, and prototyping is essential, as is the ability to integrate with or leverage data from internal engineering systems.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on delivering measurable outcomes that improve engineer productivity, adoption of new technologies, and operational efficiency.

• Customer-Centric (Internal): Prioritizing the needs and experiences of the engineers as internal customers, ensuring solutions are intuitive, relevant, and valuable.

• Collaborative: Fostering a team environment where cross-functional partnerships are key, and knowledge sharing is encouraged to achieve common goals.

• Innovative & Adaptable: Embracing new technologies and methodologies, such as Agentic AI, and being flexible to adapt designs based on feedback and evolving requirements.

• Data-Informed: Utilizing data and analytics to guide design decisions, validate hypotheses, and demonstrate the effectiveness of implemented solutions.

Collaboration Style:

• Partnership-Focused: Working closely with engineering leadership, platform teams, and AI program owners to co-create solutions that are grounded in practical delivery needs.

• Empathetic & User-Focused: Regularly engaging with engineers through research and feedback loops to build a deep understanding of their challenges and perspectives.

• Transparent & Communicative: Maintaining open lines of communication regarding design decisions, progress, and potential impacts across all involved teams.

• Iterative & Feedback-Oriented: Actively seeking and incorporating feedback throughout the design process to ensure solutions are robust, user-friendly, and effective.

📝 Enhancement Note: The culture emphasizes delivering tangible results within a complex technical organization. The ability to collaborate effectively across diverse teams and to champion user-centered design principles for internal technical audiences will be key to success.

⚡ Challenges & Growth Opportunities

Challenges:

• Driving Adoption of Novel Technologies: Effectively designing experiences for Agentic AI, which is a rapidly evolving and potentially complex area for engineers to adopt.

• Integrating Enablement into Existing Workflows: The primary challenge is embedding learning and support directly into engineer tools (IDEs, pipelines) without causing disruption or cognitive overload.

• Balancing Diverse Engineering Needs: Catering to the varied skill sets, roles, and experience levels across different engineering functions (Platform, SRE, general development).

• Measuring Impact in Complex Systems: Quantifying the ROI and effectiveness of enablement solutions within intricate technical environments and long development cycles.

• Keeping Pace with Technological Evolution: Continuously updating designs and enablement strategies as AI, cloud, and infrastructure technologies advance rapidly.

Learning & Development Opportunities:

• Deep Dive into AI & Agentic Systems: Gaining hands-on experience and expertise in the practical application of AI within enterprise engineering workflows.

• Mastering Developer Experience (DX) Design: Becoming a subject matter expert in designing for the unique needs and workflows of software developers and engineers.

• Strategic Workforce Design: Developing skills in translating organizational strategy into actionable talent development and capability frameworks.

• Cross-Functional Leadership: Enhancing leadership and stakeholder management skills by working with senior executives across technology and business units.

• Industry Best Practices: Staying at the forefront of UX, enablement, and AI adoption trends through conferences, training, and continuous research within the fintech sector.

📝 Enhancement Note: The role presents significant challenges but also offers substantial growth opportunities in emerging fields like AI-driven engineering and advanced developer experience. Successfully navigating these challenges will position the candidate for advanced roles in technology transformation.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an enablement program or learning experience for a highly technical audience. What was the problem, your approach, and the outcome?" (Focus on demonstrating process, impact, and understanding of technical users).

• "How would you approach designing the onboarding experience for engineers adopting a new Agentic AI tool within their daily coding workflow? What key considerations would you have?" (Assess understanding of AI adoption, workflow integration, and user-centric design).

• "Imagine you need to create a system to help SREs and Platform Engineers quickly access and apply best practices for incident response. How would you design this experience to be embedded in their operational tools?" (Test problem-solving, practical application of design principles, and understanding of operational roles). Company & Culture Questions:

• "What interests you about FIS Global and our focus on AI and modernizing engineering practices?" (Show genuine interest and research into the company's strategic direction).

• "How do you see your role contributing to FIS Global's mission of advancing the world of finance through technology?" (Align your contributions with the company's broader goals).

• "Describe your ideal collaboration style when working with engineering leadership and cross-functional teams." (Highlight your teamwork and stakeholder management approach). Portfolio Presentation Strategy:

• Structure for Impact: For each case study, clearly define the problem, your specific role, the design process followed, the solutions developed, and the measurable results. Use visuals effectively.

• Focus on "Why": Explain the rationale behind your design decisions, linking them back to user needs, business objectives, and technical constraints.

• Highlight Workflow Integration: Specifically showcase projects where you've designed solutions embedded directly into user workflows or tools, as this is a core requirement for this role.

• Demonstrate Technical Acumen: Be prepared to discuss the technical aspects of your projects and how you collaborated with engineers and technical stakeholders.

• Tailor to FIS: If possible, draw parallels between your past projects and the challenges at FIS Global, particularly concerning AI adoption, developer experience, or infrastructure operations.

📝 Enhancement Note: Preparation should focus on demonstrating a deep understanding of the engineer's workflow, the ability to design for adoption of complex technologies like AI, and a proven track record of delivering measurable results through user-centered design in technical environments.

📌 Application Steps

To apply for this Lead Capability Experience Designer position:

• Submit your application through the provided link on the FIS Global Careers portal.

• Tailor your resume: Highlight experience in UX design, enablement for technical teams, AI adoption, developer experience, and any relevant industry experience (Fintech, Finance). Use keywords from the job description.

• Prepare your portfolio: Curate 3-5 strong case studies that best demonstrate your ability to design for complex technical workflows, drive adoption of new technologies, and create embedded enablement solutions. Ensure each case study clearly outlines the problem, your process, the solution, and the impact.

• Practice your portfolio presentation: Be ready to walk through your selected projects, explaining your design process, rationale, and the outcomes achieved. Prepare to discuss how your experience aligns with the specific needs of FIS Global and the role's focus on Agentic AI and infrastructure operations.

• Research FIS Global: Understand their business, their role in the fintech industry, and their stated commitment to innovation and AI. This will help you tailor your responses and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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